How to handle different data types?

QuestionsQuestions8 SkillsProYour First Python LabNov, 23 2025
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In Python, you can handle different data types using various methods and functions. Here’s a brief overview of common data types and how to work with them:

  1. Strings: Text data enclosed in quotes.

    name = "Alice"
  2. Integers: Whole numbers.

    age = 30
  3. Floats: Decimal numbers.

    height = 5.5
  4. Lists: Ordered collections of items.

    fruits = ["apple", "banana", "cherry"]
  5. Tuples: Immutable ordered collections.

    coordinates = (10.0, 20.0)
  6. Dictionaries: Key-value pairs.

    person = {"name": "Alice", "age": 30}
  7. Booleans: True or False values.

    is_student = True

Type Conversion

You can convert between data types using built-in functions:

  • To String: str()

    age_str = str(age)
  • To Integer: int()

    height_int = int(height)
  • To Float: float()

    age_float = float(age)

Checking Data Types

Use the type() function to check the data type of a variable:

print(type(name))  # Output: <class 'str'>

Example of Handling Different Data Types

Here’s a simple example that combines different data types:

name = input("What is your name? ")
age = int(input("What is your age? "))
height = float(input("What is your height in meters? "))

print(f"{name} is {age} years old and {height} meters tall.")

This example demonstrates how to gather and handle different data types from user input. If you have more specific questions or need further examples, feel free to ask!

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